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Industries

18.11.2024 By Wolfgang Weber and Christian Blank

The transformation from a gas to a hydrogen network

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The path to complete decarbonisation will also have a massive impact on gas network operators: parts of the infrastructure will probably no longer be needed in the long term, while other parts will have to be upgraded for operation with hydrogen. In this blog post, we outline a procedure for preparing the switch to hydrogen. The data required for this can also be used for other purposes.

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Methodology

In an age when efficiency and rapid adaptability are crucial, process mining offers significant added value: it enables companies to optimise their business processes in a data-driven way. In this blog post, we explain in more detail how process mining can help – in virtually every implementation, regardless of industry or process.

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Industries

Efficient power plant processes and well-founded decisions are hardly conceivable today without data-based analyses. In this blog post, you will find out how PowerBI can make the work of power plant employees easier through automated reporting and comprehensive data integration. You will learn how operating data from different sources can be efficiently evaluated, plant performance optimised and decision-making processes accelerated.

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Methodology

In modern data processing, companies are faced with the challenge of choosing the right database technology for their specific requirements. PostgreSQL and Databricks are two widely used solutions, each with their own strengths. In this blog post, I will highlight the differences between PostgreSQL and Databricks, analyse their respective advantages and disadvantages and give specific use cases that justify a switch to Databricks.

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Methodology

Data-driven decision-making is evolving just as rapidly as its underlying technology. Organizations shifting to data-driven decision-making see data products pop up more and more. However, standardization is usually lacking initially, which makes consumer experience (internal business) uneven.

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